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A Survey Of Methods For Explaining Black Box Models

6 February 2018

Papers citing "A Survey Of Methods For Explaining Black Box Models"

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Title
Enhanced Suicidal Ideation Detection from Social Media Using a CNN-BiLSTM Hybrid Model Mohaiminul Islam Bhuiyan Nur Shazwani Binti Kamarudin Nur Hafieza Ismail 38 1 0 19 Jan 2025
AALF: Almost Always Linear Forecasting Matthias Jakobs Thomas Liebig AI4TS 152 0 0 17 Jan 2025
Explaining k-Nearest Neighbors: Abductive and Counterfactual Explanations Pablo Barceló Alexander Kozachinskiy Miguel Romero Orth Bernardo Subercaseaux José Verschae FAtt 51 2 0 10 Jan 2025
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR Laura State Alejandra Bringas Colmenarejo Andrea Beretta Salvatore Ruggieri Franco Turini Stephanie Law AILaw ELM 83 0 0 10 Jan 2025
Predictable Artificial Intelligence Lexin Zhou Pablo Antonio Moreno Casares Fernando Martínez-Plumed John Burden Ryan Burnell ... Seán Ó hÉigeartaigh Danaja Rutar Wout Schellaert Konstantinos Voudouris José Hernández-Orallo 146 3 0 08 Jan 2025
Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI Christopher Burger Charles Walter Thai Le Lingwei Chen AAML 59 0 0 03 Jan 2025
Engineering Digital Systems for Humanity: a Research Roadmap Marco Autili Martina De Sanctis Paola Inverardi Patrizio Pelliccione 59 2 0 27 Dec 2024
Mapping the Mind of an Instruction-based Image Editing using SMILE Zeinab Dehghani Koorosh Aslansefat Adil Khan Adín Ramirez Rivera Franky George Muhammad Khalid DiffM 170 1 0 20 Dec 2024
Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise Selection Jeroen Ooge Arno Vanneste Maxwell Szymanski K. Verbert 127 0 0 20 Dec 2024
A Survey of Calibration Process for Black-Box LLMs Liangru Xie Hui Liu Jingying Zeng Xianfeng Tang Yan Han Chen Luo Jing Huang Zhen Li Suhang Wang Qi He 142 4 0 17 Dec 2024
Strategies and Challenges of Efficient White-Box Training for Human Activity Recognition Daniel Geissler Bo Zhou P. Lukowicz HAI 104 2 0 11 Dec 2024
A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications M. Islam M. F. Mridha Md Abrar Jahin Nilanjan Dey 81 2 0 05 Dec 2024
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 143 2 0 02 Dec 2024
Transparent Neighborhood Approximation for Text Classifier Explanation Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AAML 111 0 0 25 Nov 2024
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation Trong-Thang Pham Ngoc-Vuong Ho Nhat-Tan Bui T. Phan Patel Brijesh ... Gianfranco Doretto Anh Nguyen Carol C. Wu Hien Nguyen Ngan Le 170 4 0 23 Nov 2024
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis Hiroshi Yokoyama Ryusei Shingaki Kaneharu Nishino Shohei Shimizu Thong Pham CML 111 0 0 11 Nov 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 244 3 0 07 Nov 2024
Minder: Faulty Machine Detection for Large-scale Distributed Model Training Yangtao Deng Xiang Shi Zhuo Jiang Xinyu Zhang Lei Zhang ... Fuliang Li Shuguang Wang H. Lin Jianxi Ye Minlan Yu LRM 420 4 0 04 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 153 0 0 04 Nov 2024
Assessing the Auditability of AI-integrating Systems: A Framework and Learning Analytics Case Study Linda Fernsel Yannick Kalff Katharina Simbeck 56 2 0 29 Oct 2024
AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions D. Hagos Hassan El Alami D. Rawat 34 1 0 28 Oct 2024
Improving Decision Sparsity Yiyang Sun Tong Wang Cynthia Rudin 427 1 0 27 Oct 2024
A Novel Interpretability Metric for Explaining Bias in Language Models: Applications on Multilingual Models from Southeast Asia Lance Calvin Lim Gamboa Mark Lee 59 1 0 20 Oct 2024
Reinfier and Reintrainer: Verification and Interpretation-Driven Safe Deep Reinforcement Learning Frameworks Zixuan Yang Jiaqi Zheng Guihai Chen OffRL 95 0 0 19 Oct 2024
Interpretable end-to-end Neurosymbolic Reinforcement Learning agents Nils Grandien Quentin Delfosse Kristian Kersting OffRL 75 2 0 18 Oct 2024
Isolated Causal Effects of Natural Language Victoria Lin Louis-Philippe Morency Eli Ben-Michael CML 135 1 0 18 Oct 2024
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection Nazanin Fouladgar Marjan Alirezaie Kary Främling AI4TS FAtt 41 0 0 16 Oct 2024
Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set Programming A. Takemura Katsumi Inoue 49 0 0 14 Oct 2024
Neural Reasoning Networks: Efficient Interpretable Neural Networks With Automatic Textual Explanations Stephen Carrow Kyle Harper Erwin Olga Vilenskaia Parikshit Ram Tim Klinger Naweed Khan Ndivhuwo Makondo Alexander Gray 47 1 0 10 Oct 2024
A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence Louise McCormack Malika Bendechache XAI 107 1 0 10 Oct 2024
Uncertainty-Aware Fairness-Adaptive Classification Trees Anna Gottard Vanessa Verrina Sabrina Giordano 28 0 0 08 Oct 2024
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions Helena Lofstrom Tuwe Löfström Johan Hallberg Szabadvary 58 0 0 07 Oct 2024
Pseudo-Non-Linear Data Augmentation via Energy Minimization Pingbang Hu Mahito Sugiyama 52 0 0 01 Oct 2024
Explainable Multi-Stakeholder Job Recommender Systems Roan Schellingerhout 20 3 0 01 Oct 2024
Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data M. Velmurugan Chun Ouyang Yue Xu Renuka Sindhgatta B. Wickramanayake Catarina Moreira ELM LMTD XAI 59 0 0 30 Sep 2024
Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networks Judah Goldfeder Quinten Roets Gabe Guo John Wright Hod Lipson 60 1 0 27 Sep 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 77 2 0 22 Sep 2024
Aligning Judgment Using Task Context and Explanations to Improve Human-Recommender System Performance Divya K. Srivastava Karen Feigh 58 0 0 16 Sep 2024
The 20 questions game to distinguish large language models Gurvan Richardeau Erwan Le Merrer C. Penzo Gilles Tredan 106 1 0 16 Sep 2024
Evaluating Cultural Awareness of LLMs for Yoruba, Malayalam, and English Fiifi Dawson Zainab Mosunmola Sahil Pocker Raj Abhijit Dandekar Rajat Dandekar Sreedath Panat 65 4 0 14 Sep 2024
Explainable AI: Definition and attributes of a good explanation for health AI E. Kyrimi S. McLachlan Jared M Wohlgemut Zane B Perkins David A. Lagnado W. Marsh the ExAIDSS Expert Group XAI 66 1 0 09 Sep 2024
UTrack: Multi-Object Tracking with Uncertain Detections Edgardo Solano-Carrillo Felix Sattler Antje Alex Alexander Klein Bruno Pereira Costa Ángel Bueno Rodríguez Jannis Stoppe VOT 110 1 0 30 Aug 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 303 37 0 30 Aug 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail Mustansar Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 274 5 0 30 Aug 2024
Using LLMs for Explaining Sets of Counterfactual Examples to Final Users Arturo Fredes Jordi Vitria CML LRM 75 5 0 27 Aug 2024
Interactive dense pixel visualizations for time series and model attribution explanations U. Schlegel Daniel A. Keim FAtt AI4TS XAI 60 0 0 27 Aug 2024
Subgroup Analysis via Model-based Rule Forest I-Ling Cheng Chan Hsu Chantung Ku Pei-Ju Lee Yihuang Kang 25 0 0 27 Aug 2024
An Evaluation of Explanation Methods for Black-Box Detectors of Machine-Generated Text Loris Schoenegger Yuxi Xia Benjamin Roth FAtt 63 0 0 26 Aug 2024
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification Ziwen Kan Shahbaz Rezaei Xin Liu BDL AI4TS 54 0 0 22 Aug 2024
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit Qizhou Chen Taolin Zhang Chengyu Wang Xiaofeng He Dakan Wang Tingting Liu KELM 164 4 0 19 Aug 2024